The following pages link to (Q4280410):
Displaying 50 items.
- Bayes factors and hierarchical models (Q1298998) (← links)
- Marketing models of consumer heterogeneity (Q1305774) (← links)
- Asymptotic properties of maximum weighted likelihood estimators. (Q1417793) (← links)
- Classification of molecular sequence data using Bayesian phylogenetic mixture models (Q1623476) (← links)
- On the use of marginal posteriors in marginal likelihood estimation via importance sampling (Q1623576) (← links)
- A sampling algorithm for bandwidth estimation in a nonparametric regression model with a flexible error density (Q1623642) (← links)
- A transdimensional approximate Bayesian computation using the pseudo-marginal approach for model choice (Q1623706) (← links)
- A new Monte Carlo method for estimating marginal likelihoods (Q1631546) (← links)
- Efficient model comparison techniques for models requiring large scale data augmentation (Q1631557) (← links)
- Modeling skewed spatial data using a convolution of Gaussian and log-Gaussian processes (Q1631562) (← links)
- Sequential Monte Carlo smoothing with parameter estimation (Q1631601) (← links)
- Slice-Gibbs sampling algorithm for estimating the parameters of a multilevel item response model (Q1645032) (← links)
- General framework and model building in the class of hidden mixture transition distribution models (Q1660196) (← links)
- Model selection for time series of count data (Q1662312) (← links)
- Mode jumping MCMC for Bayesian variable selection in GLMM (Q1663135) (← links)
- A tutorial on bridge sampling (Q1690608) (← links)
- Bayesian parametric bootstrap for models with intractable likelihoods (Q1757671) (← links)
- Computational advances for and from Bayesian analysis (Q1766319) (← links)
- Generalized bootstrap for estimating equations (Q1781166) (← links)
- Model averaging in Markov-switching models: predicting national recessions with regional data (Q1782297) (← links)
- On the calibration of Bayesian model choice criteria (Q1869093) (← links)
- The deductive phase of statistical analysis via predictive simulations: Test, validation and control of a linear model with autocorrelated errors representing a food process (Q1878837) (← links)
- Robust inference for univariate proportional hazards frailty regression models (Q1879961) (← links)
- Bayesian comparison of bivariate ARCH-type models for the main exchange rates in Poland (Q1886291) (← links)
- Computer intensive methods for inference on parameters of complex models. -- A Bayesian alternative (Q1901756) (← links)
- A comparative study of Monte Carlo methods for efficient evaluation of marginal likelihood (Q1927121) (← links)
- On marginal likelihood computation in change-point models (Q1927122) (← links)
- Modelling multi-output stochastic frontiers using copulas (Q1927154) (← links)
- Bayesian model choice of grouped \(t\)-copula (Q1930463) (← links)
- Bayesian inference and the parametric bootstrap (Q1940031) (← links)
- A survey of Bayesian predictive methods for model assessment, selection and comparison (Q1951655) (← links)
- Inverse dispersion for an unknown number of sources: model selection and uncertainty analysis (Q1954386) (← links)
- A problem in forensic science highlighting the differences between the Bayes factor and likelihood ratio (Q2075691) (← links)
- Estimating the covariance matrix of the maximum likelihood estimator under linear cluster-weighted models (Q2075731) (← links)
- Incorporating compositional heterogeneity into Lie Markov models for phylogenetic inference (Q2078775) (← links)
- Recycled two-stage estimation in nonlinear mixed effects regression models (Q2082461) (← links)
- Proximal nested sampling for high-dimensional Bayesian model selection (Q2084321) (← links)
- A subsampling approach for Bayesian model selection (Q2105562) (← links)
- Bayesian testing for exogenous partition structures in stochastic block models (Q2121702) (← links)
- Inflated density ratio and its variation and generalization for computing marginal likelihoods (Q2131900) (← links)
- Model-guided adaptive sampling for Bayesian model selection (Q2131962) (← links)
- Penalised t-walk MCMC (Q2156821) (← links)
- Computing marginal likelihoods via the Fourier integral theorem and pointwise estimation of posterior densities (Q2172117) (← links)
- A comparison of Monte Carlo methods for computing marginal likelihoods of item response theory models (Q2178162) (← links)
- Early identification of an impending rockslide location via a spatially-aided Gaussian mixture model (Q2194483) (← links)
- Properties of the bridge sampler with a focus on splitting the MCMC sample (Q2195825) (← links)
- Estimating marginal likelihoods from the posterior draws through a geometric identity (Q2213361) (← links)
- Conjugate priors and posterior inference for the matrix Langevin distribution on the Stiefel manifold (Q2226714) (← links)
- Global and local covert visual attention: evidence from a Bayesian hidden Markov model (Q2259890) (← links)
- Model based clustering of large data sets: tracing the development of spelling ability (Q2260003) (← links)
